Joint Statistical Meetings 2019

Graduate students and faculty presented at the annual Joint Statistical Meetings in Denver, Colorado

Nineteen students and faculty represented the Department of Biostatistics at this summer's Joint Statistical Meetings (JSM) in Denver, Colorado.  JSM is the largest gathering of statisticians and data scientists held in North America.

Support for student travel was largely provided by the department in accordance with our training mission, with additional support from a combination of grant funding and assistance from the School of Medicine Graduate Studies office.

Presentations involving our faculty and students included:

  • Geostatistical Modeling of Positive Definite Matrices with Applications to Diffusion Tensor Imaging
    Dipankar Bandyopadhyay; Brian Reich, North Carolina State University; Zhou Lan, North Carolina State University; Joseph Guinness, Cornell University

  • Cure Rate Frailty Models for Clustered Current Status Data with Informative Cluster Size
    Kejun He, Renmin University; Wei Ma, Renmin University; Tong Wang, Texas A&M University; Dipankar Bandyopadhyay; Samiran Sinha, Texas A&M University

  • A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging
    Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Dipankar Bandyopadhyay

  • Estimating Responder Status in Sequential Multiple Assignment Randomized Trials (SMARTs)
    Keighly Bradbrook; Roy T Sabo

  • A Natural Lead-In Approach to Response-Adaptive Allocation
    Erin Donahue; Roy T Sabo

  • SpectralTAD: Defining Hierarchy of Topologically Associated Domains Using Graph Theoretical Clustering
    Mikhail Dozmorov; Kellen Cresswell; John Stansfield

  • Reducing Misclassification Effect on Dynamic Treatment Regimen (DTR) of Sequential Multiple Assignment Randomized Trial Designs (SMART)
    Jun He; Roy T Sabo; Donna McClish

  • Estimating Knots in Bilinear Spline Growth Models with Time-Invariant Covariates in the Framework of Individual Measurement Occasions
    Jin Liu; Robert A. Perera; Robert M. Kirkpatrick, Virginia Institute for Psychiatric & Behavioral Genetics

  • The Optimal Point of the ROC Curve When Disease Distribution Is a Mixture of Normals
    Donna McClish

  • [View Image]Examining the Replication Crisis: The Effect of Underpowered Studies and Publication Bias
    Christine M. Orndahl; Robert A. Perera

  • A Comparison of the Up-And-Down or Biased Coin Design to the Continual Reassessment Method for Phase I Dose Finding Studies
    Robert A. Perera; Roy T Sabo; Adam Sima

  • A Statistical Model for Longitudinal Analysis of Radiographic Lung Change Following Radiotherapy of Lung Cancer
    Viviana Alejandra Rodriguez; Nitai Mukhopadhyay; Elisabeth Weiss

  • Temporal Effects Comparison Across Four Treatments Applied to Ponderosa Pine for the Suppression and Prevention of Elytroderma Needle Disease
    Ekaterina Smirnova; Joel M Egan, US Forest Service; Leonid Kalachev, University of Montana; John Goodburn, University of Montana; Kathleen Mckeever, US Forest Service

  • Adjusting Response Adaptive Allocation for Subject Dropout
    Katharine Stromberg; Adam Sima

  • Multiple Treatment Assessment via Propensity Scores in Heavy Censoring Multivariate Settings: Application to Organ Transplantation
    Jonathan Yu; Dipankar Bandyopadhyay; Le Kang

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Alumni and friends joined faculty and students for a get-together at the Joint Statistical Meetings in Denver, Colorado! Read more at: https://biostatistics.vcu.edu/news/joint-statistical-meetings-2019/ Posted by VCU Biostatistics Department on Wednesday, August 7, 2019

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